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Tone mapping reduces the high dynamic range of an image to better suit the display capabilities. This paper studies the repetitive application of tone mapping operators, and proposes an iterative approach that dynamically selects a sequence of tone mapping operations from a pre-determined set of operators, which maximizes the quality of the low dynamic range output image in terms of an objective quality...
Over the years of software development, a vast amount of source code has been accumulated. Many code search tools were proposed to help programmers reuse previously-written code by performing free-text queries over a large-scale codebase. Our experience shows that the accuracy of these code search tools are often unsatisfactory. One major reason is that existing tools lack of query understanding ability...
Why are some people more creative than others? How do human brain networks evolve over time? A key stepping stone to both mysteries and many more is to compare weighted brain networks. In contrast to networks arising from other application domains, the brain network exhibits its own characteristics (e.g., high density, indistinguishability), which makes any off-the-shelf data mining algorithm as well...
In this paper, we describe a novel local descriptor of image texture representation for visual recognition. The image features based on micro-descriptors such as local binary patterns (LBP) and local ternary patterns (LTP) have been very successful in number of applications including face recognition and texture analysis. Instead of binary quantization in LBP, LTP thresholds the differential values...
This paper will provide a general overview of different characteristics of transmission poles and general design considerations included in the ASCE Standard ASCE/SEI 48-11 Design of Steel Transmission Pole Structures. Information related to pole geometry and typical single pole configurations is provided. Then, information about connection between sections and types of foundations typically used...
Image fusion is the process of combining two or more images acquired from different image sensors into a single image which is advantageous for advance image processing assignments. In this work we present a new fusion method using fuzzy sets (FSs) that combine two or more images by using maximum, minimum operations in fuzzy images. In the processing stage, images are transformed into fuzzy images...
Teaching quality value is the key point in valuing teaching quality in universities. This paper introduces the model design and evaluation index, web design and work flow, etc, and it is combined with Teaching Evaluation System (TES) of the Yuxi Normal University. It can remedy the defects in traditional teaching evaluation. Now the TES has been adopted in practice and the results show that it can...
One of the most popular approaches for object recognition is bag-of-words which represents an image as a histogram of the frequency of occurrence of visual words. But it has some disadvantages. Besides requiring computationally expensive geometric verification to compensate for the lack of spatial information in the representation, it is particularly unsuitable for sub-image retrieval problems because...
We are interested in forecasting a large collection of FMCG demand time series. As the demand of FMCG exists in a hierarchy (from manufacturers to distributors to retailers), the bottom level of the hierarchy may contain thousands or even millions of time series. Producing aggregate consistent forecasts while utilizing the unique features from each time series thus become a technical challenge. To...
In the given article a valuable role and the main characteristics of the disciplines “International Scientific and Technical Communications” and “Psychology of Communication”, carried out for university students of technical specialties, are considered. The discipline “Psychology of Communication” is aimed at successful learning of the “International Scientific and Technical Communications” course...
In this paper, we present a novel scalable logo recognition system which can recognize a large number of logo categories locally on mobile devices. The system is unsupervised without any supervised training procedure, and very time efficient at low memory cost. It is also robust against challenging conditions such as noise addition, different image scale, rotation, etc. To achieve this goal, we propose...
In Bag-of-Words-based image retrieval, the local feature could not describe the global information of an image. It produces many false matches and reduces the retrieval precision. To address this problem, this paper proposes a new method which is based on the global and local feature similarity. The global feature extracted by convolutional neural network is added to the local keypoints extracted...
3D display has extensive application potential in the field of virtual reality. However, viewing 3D display for long time tends to induce users' visual fatigue such as headache, dizziness, etc. In order to improve the quality of 3D display and its user-friendliness, it's necessary to uncover the effective metrics which can detect and assess visual fatigue quantitatively and objectively. In order to...
In this paper, we present a set of algorithms to compute a foresighted graph layout. We aim to produce a dynamic graph drawing that allows the users to track actors in a dynamic social network, supporting a satisfying user experience along with an efficient visual search and recognition of elements. The drawings produced by the algorithms were evaluated through a study, which combined the use of questionnaires,...
Vessel maintenance entails periodic visual inspections of internal and external parts of the hull in order to detect the typical defective situations affecting metallic structures. Nowadays, robots are becoming more and more important regarding these inspection tasks, since they can collect the requested information and, thus, prevent humans from performing tedious, and even dangerous tasks because...
The past decade's computing revolution has delivered parallel hardware to the masses. However, the ability to exploit its capabilities and ignite scientific breakthrough at a proportionate level remains a challenge due to the lack of parallel programming expertise. Although different solutions have been proposed to facilitate harvesting the seeds of parallel computing, most target seasoned programmers...
This contribution synthetically addresses some of the photogrammetric solutions available today in the field of architectural-archaeological survey and the related applications outcome, evaluated during both the acquisition phase of metric data than in those of effective yield of refunds infographics.
Content-Based Image Retrieval (CBIR), a technique which uses visual contents to search images from large scale image databases according to users interests. In most of image retrieval systems, accurate and partial relevant matching is main issue. Partial duplicate image retrieval is most complicated task as region of interest may undergo occlusion, rotation, scaling and other transformations. Retrieval...
In today's world transmitting data in a safe and secure fashion is difficult, especially when highly sensitive data is involved. The data should be ideally robust to security threats. The paper aims at proposing a methodology which employs dual level of security using cryptography and steganography to hide the secret text data using video as a cover. A blend of existing and novel techniques is used...
The precision of visual matching and the trade-off between accuracy and time efficiency have long been bottlenecks of image search systems. This work addresses the two problem simultaneously by introducing the coupled Multi-Index (cMI) structure. First, by combining SIFT and color features on the indexing-level, the discriminative power of visual words is greatly enhanced. Second, by reducing the...
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